The time geography of segregation during working hours
While segregation is usually evaluated at the residential level, the recent influx of large streams of data describing urbanites’ movement across the city allows to generate detailed descriptions of spatio-temporal segregation patterns across the activity space of individuals. For instance, segregat...
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2018-01-01
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Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180749 |
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doaj-2c75aa8ebbbd416d8f226d8a8165a66e2020-11-25T04:00:19ZengThe Royal SocietyRoyal Society Open Science2054-57032018-01-0151010.1098/rsos.180749180749The time geography of segregation during working hoursTeodoro DannemannBoris Sotomayor-GómezHoracio SamaniegoWhile segregation is usually evaluated at the residential level, the recent influx of large streams of data describing urbanites’ movement across the city allows to generate detailed descriptions of spatio-temporal segregation patterns across the activity space of individuals. For instance, segregation across the activity space is usually thought to be lower compared with residential segregation given the importance of social complementarity, among other factors, shaping the economies of cities. However, these new dynamic approaches to segregation convey important methodological challenges. This paper proposes a methodological framework to investigate segregation during working hours. Our approach combines three well-known mathematical tools: community detection algorithms, segregation metrics and random walk analysis. Using Santiago (Chile) as our model system, we build a detailed home–work commuting network from a large dataset of mobile phone pings and spatially partition the city into several communities. We then evaluate the probability that two persons at their work location will come from the same community. Finally, a randomization analysis of commuting distances and angles corroborates the strong segregation description for Santiago provided by the sociological literature. While our findings highlights the benefit of developing new approaches to understand dynamic processes in the urban environment, unveiling counterintuitive patterns such as segregation at our workplace also shows a specific example in which the exposure dimension of segregation is successfully studied using the growingly available streams of highly detailed anonymized mobile phone registries.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180749segregationcommunity detectionnetwork analysisurban dynamics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Teodoro Dannemann Boris Sotomayor-Gómez Horacio Samaniego |
spellingShingle |
Teodoro Dannemann Boris Sotomayor-Gómez Horacio Samaniego The time geography of segregation during working hours Royal Society Open Science segregation community detection network analysis urban dynamics |
author_facet |
Teodoro Dannemann Boris Sotomayor-Gómez Horacio Samaniego |
author_sort |
Teodoro Dannemann |
title |
The time geography of segregation during working hours |
title_short |
The time geography of segregation during working hours |
title_full |
The time geography of segregation during working hours |
title_fullStr |
The time geography of segregation during working hours |
title_full_unstemmed |
The time geography of segregation during working hours |
title_sort |
time geography of segregation during working hours |
publisher |
The Royal Society |
series |
Royal Society Open Science |
issn |
2054-5703 |
publishDate |
2018-01-01 |
description |
While segregation is usually evaluated at the residential level, the recent influx of large streams of data describing urbanites’ movement across the city allows to generate detailed descriptions of spatio-temporal segregation patterns across the activity space of individuals. For instance, segregation across the activity space is usually thought to be lower compared with residential segregation given the importance of social complementarity, among other factors, shaping the economies of cities. However, these new dynamic approaches to segregation convey important methodological challenges. This paper proposes a methodological framework to investigate segregation during working hours. Our approach combines three well-known mathematical tools: community detection algorithms, segregation metrics and random walk analysis. Using Santiago (Chile) as our model system, we build a detailed home–work commuting network from a large dataset of mobile phone pings and spatially partition the city into several communities. We then evaluate the probability that two persons at their work location will come from the same community. Finally, a randomization analysis of commuting distances and angles corroborates the strong segregation description for Santiago provided by the sociological literature. While our findings highlights the benefit of developing new approaches to understand dynamic processes in the urban environment, unveiling counterintuitive patterns such as segregation at our workplace also shows a specific example in which the exposure dimension of segregation is successfully studied using the growingly available streams of highly detailed anonymized mobile phone registries. |
topic |
segregation community detection network analysis urban dynamics |
url |
https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180749 |
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